3D geometry researcher: graphics, vision, 3D ML, etc | Senior Research Scientist @NVIDIA | running, hockey, baking, & cheesy sci fi | opinions my own | he/him
Aug 4, 2023 • 12 tweets • 5 min read
Many physical systems are high-dimensional, but we only really care about some low-dimensional subspace.
Our latest work shows how to fit these subspaces as small neural maps automatically, *without* any data as input, just the energy function.
Read on to learn how! (1/N) 🧵
Reduced order modeling seeks to identify & parameterize significant low-dimensional subspaces for high-dimensional systems.
Neural nets are a natural representation, but data-driven approaches are tricky: for most systems, data doesn't exist and is hard to collect! (2/N)
Feb 12, 2022 • 16 tweets • 6 min read
📢Hot off the presses: we present **DiffusionNet** for simple and scalable deep learning on surfaces.
The networks generalize by construction across different samplings, resolutions, and even representations. Spatial support is automatically optimized as a parameter! 🧵👇 (1/N)
I've been excited about this one for a long time; now we can finally share widely! This is work with the excellent Souhaib Attaiki, @keenanisalive, and Maks Ovsjanikov. Will appear in ACM Transactions on Graphics and at SIGGRAPH 2022.
Here's a thread of the key ideas. (2/N)
Feb 9, 2022 • 12 tweets • 3 min read
It's paper reviewing season! Here are 9 tips that have helped me grow as a better reviewer---we never get taught this formally, but it's extremely important for our community. 🧵👇
1/9: Summarize first. ☂️
Begin by summarizing key ideas/contributions of the paper, even if it is not required to do so. Don't copy-paste the abstract. This is useful for committees/editors to get context, and for authors to identify and resolve misunderstandings.
